A CNN-transformer network with multiscale context aggregation for fine-grained cropland change detection

M Liu, Z Chai, H Deng, R Liu - IEEE Journal of Selected Topics …, 2022 - ieeexplore.ieee.org
Nonagriculturalization incidents are serious threats to local agricultural ecosystem and
global food security. Remote sensing change detection (CD) can provide an effective …

Fine-grained visual classification via internal ensemble learning transformer

Q Xu, J Wang, B Jiang, B Luo - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Recently, vision transformers (ViTs) have been investigated in fine-grained visual
recognition (FGVC) and are now considered state of the art. However, most ViT-based works …

Progressive semantic-visual mutual adaption for generalized zero-shot learning

M Liu, F Li, C Zhang, Y Wei, H Bai… - Proceedings of the …, 2023 - openaccess.thecvf.com
Abstract Generalized Zero-Shot Learning (GZSL) identifies unseen categories by knowledge
transferred from the seen domain, relying on the intrinsic interactions between visual and …

PSDPM: Prototype-based secondary discriminative pixels mining for weakly supervised semantic segmentation

X Zhao, Z Yang, T Dai, B Zhang… - Proceedings of the …, 2024 - openaccess.thecvf.com
Abstract Image-level Weakly Supervised Semantic Segmentation (WSSS) has received
increasing attention due to its low annotation cost. Class Activation Map** (CAM) …

Towards the uncharted: Density-descending feature perturbation for semi-supervised semantic segmentation

X Wang, H Bai, L Yu, Y Zhao… - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
Semi-supervised semantic segmentation allows model to mine effective supervision from
unlabeled data to complement label-guided training. Recent research has primarily focused …

Lesion-aware visual transformer network for Paddy diseases detection in precision agriculture

AA Salamai, N Ajabnoor, WE Khalid, MM Ali… - European Journal of …, 2023 - Elsevier
Precision agriculture, driven by advancements in sensing technologies and data analytics,
offers promising solutions for addressing challenges in paddy disease management. Paddy …

Part-object progressive refinement network for zero-shot learning

M Liu, C Zhang, H Bai, Y Zhao - IEEE Transactions on Image …, 2024 - ieeexplore.ieee.org
Zero-shot learning (ZSL) recognizes unseen images by sharing semantic knowledge
transferred from seen images, encouraging the investigation of associations between …

Multi-source aggregation transformer for concealed object detection in millimeter-wave images

P Sun, T Liu, X Chen, S Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
The active millimeter wave scanner has been widely used for detecting objects concealed
underneath a person's clothing in the field of security inspection and anti-terrorism …

Continual segmentation with disentangled objectness learning and class recognition

Y Gong, S Yu, X Wang, J **ao - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
Most continual segmentation methods tackle the problem as a per-pixel classification task.
However such a paradigm is very challenging and we find query-based segmenters with …

The image data and backbone in weakly supervised fine-grained visual categorization: A revisit and further thinking

S Ye, Y Wang, Q Peng, X You… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Weakly-supervised fine-grained visual categorization (FGVC) aims to achieve subclass
classification within the same large class using only label information. Compared to general …